from typing import Any, List, Callable import cv2 import insightface import threading import os import logging import roop.globals import roop.processors.frame.core from roop.core import update_status from roop.face_analyser import get_one_face, get_many_faces from roop.typing import Face, Frame from roop.utilities import conditional_download, resolve_relative_path, is_image, is_video FACE_SWAPPER = None THREAD_LOCK = threading.Lock() NAME = 'ROOP.FACE-SWAPPER' # Configure logging logging.basicConfig(level=logging.INFO) def get_face_swapper() -> Any: global FACE_SWAPPER with THREAD_LOCK: if FACE_SWAPPER is None: model_path = resolve_relative_path('../models/inswapper_128.onnx') try: FACE_SWAPPER = insightface.model_zoo.get_model(model_path, providers=roop.globals.execution_providers) logging.info(f"Loaded face swapper model from {model_path}") except Exception as e: logging.error(f"Failed to load face swapper model: {e}") FACE_SWAPPER = None return FACE_SWAPPER def pre_check() -> bool: download_directory_path = resolve_relative_path('../models') try: conditional_download(download_directory_path, ['https://huggingface.co/countfloyd/deepfake/resolve/main/inswapper_128.onnx']) logging.info("Pre-check completed successfully.") return True except Exception as e: logging.error(f"Pre-check failed: {e}") return False def pre_start() -> bool: try: if not is_image(roop.globals.source_path): update_status('Select an image for source path.', NAME) return False elif not get_one_face(cv2.imread(roop.globals.source_path)): update_status('No face in source path detected.', NAME) return False if not is_image(roop.globals.target_path) and not is_video(roop.globals.target_path): update_status('Select an image or video for target path.', NAME) return False logging.info("Pre-start checks passed.") return True except Exception as e: logging.error(f"Pre-start check failed: {e}") return False def post_process() -> None: global FACE_SWAPPER FACE_SWAPPER = None logging.info("Post-process cleanup done.") def swap_face(source_face: Face, target_face: Face, temp_frame: Frame) -> Frame: try: result = get_face_swapper().get(temp_frame, target_face, source_face, paste_back=True) return result except Exception as e: logging.error(f"Error swapping face: {e}") return temp_frame # Return the unmodified frame in case of error def process_frame(source_face: Face, temp_frame: Frame) -> Frame: try: if roop.globals.many_faces: many_faces = get_many_faces(temp_frame) if many_faces: for target_face in many_faces: temp_frame = swap_face(source_face, target_face, temp_frame) else: target_face = get_one_face(temp_frame) if target_face: temp_frame = swap_face(source_face, target_face, temp_frame) return temp_frame except Exception as e: logging.error(f"Error processing frame: {e}") return temp_frame # Return the unmodified frame in case of error def process_frames(source_path: str, temp_frame_paths: List[str], update: Callable[[], None]) -> None: try: source_face = get_one_face(cv2.imread(source_path)) if source_face is None: raise ValueError("No face detected in source image.") for temp_frame_path in temp_frame_paths: temp_frame = cv2.imread(temp_frame_path) if temp_frame is None: raise ValueError(f"Failed to read frame from path: {temp_frame_path}") result = process_frame(source_face, temp_frame) cv2.imwrite(temp_frame_path, result) if update: update() logging.info("Frames processed successfully.") except Exception as e: logging.error(f"Error processing frames: {e}") def process_image(source_path: str, target_path: str, output_path: str) -> None: try: source_face = get_one_face(cv2.imread(source_path)) target_frame = cv2.imread(target_path) if source_face is None: raise ValueError("No face detected in source image.") if target_frame is None: raise ValueError("Failed to read target frame.") result = process_frame(source_face, target_frame) cv2.imwrite(output_path, result) logging.info(f"Image processed and saved to {output_path}.") except Exception as e: logging.error(f"Error processing image: {e}") def process_video(source_path: str, temp_frame_paths: List[str]) -> None: try: roop.processors.frame.core.process_video(source_path, temp_frame_paths, process_frames) logging.info("Video processing completed.") except Exception as e: logging.error(f"Error processing video: {e}")